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arXiv 1908.040452019-08-12cs.IRcs.MMcs.SI

Automatic Fashion Knowledge Extraction from Social Media

Yunshan Ma, Lizi Liao, Tat-Seng Chua

备注：: 2 pages, 4 figures, ACMMM 2019 Demo
DOI：: 10.1145/3343031.3350607

英文摘要：

Fashion knowledge plays a pivotal role in helping people in their dressing. In this paper, we present a novel system to automatically harvest fashion knowledge from social media. It unifies three tasks of occasion, person and clothing discovery from multiple modalities of images, texts and metadata. A contextualized fashion concept learning model is applied to leverage the rich contextual information for improving the fashion concept learning performance. At the same time, to counter the label noise within training data, we employ a weak label modeling method to further boost the performance. We build a website to demonstrate the quality of fashion knowledge extracted by our system.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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